Signal processing and statistical methods in analysis of text and DNA

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dc.creatorBerryman, Matthew J.
dc.creatorAllison, Andrew
dc.creatorCarpena, Pedro
dc.creatorAbbott, Derek
dc.date2004-04-07
dc.date.accessioned2026-07-07T05:51:38Z
dc.date.available2026-07-07T05:51:38Z
dc.descriptionA number of signal processing and statistical methods can be used in analyzing either pieces of text or DNA sequences. These techniques can be used in a number of ways, such as determining authorship of documents, finding genes in DNA, and determining phylogenetic and linguistic trees. Signal processing methods such as spectrograms provide useful new tools in the area of genomic information science. In particular, fractal analysis of DNA ``signals'' has provided a new way of classifying organisms.
dc.description10 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/physics/0404032
dc.identifierhttp://arxiv.org/abs/physics/0404032
dc.identifierProc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, Ed. Dan V. Nicolau, Melbourne, Australia, December 2002, pp231-240
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/86055
dc.subjectData Analysis, Statistics and Probability
dc.titleSignal processing and statistical methods in analysis of text and DNA
dc.typetext

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